糖尿病患者遺忘型輕度認知功能損害的腦電信號分析
本文選題:糖尿病 切入點:認知功能損害 出處:《燕山大學》2014年博士論文 論文類型:學位論文
【摘要】:糖尿病發(fā)病率及導致的認知功能損害并發(fā)癥逐年升高,嚴重影響患者的生活質量,給個人、家庭和社會造成沉重的精神和經(jīng)濟負擔。糖尿病是導致老年人認知功能下降和癡呆的一個重要風險因素,糖尿病和衰老機制之間的復雜關系有待進一步揭示。從20世紀80年代開始,人們開始關注2型糖尿病與癡呆的關系,但至今問題沒有得到解決。腦電是理解大腦的窗戶,因此應用腦電信號研究糖尿病患者認識功能的損害機制以及經(jīng)過康復治療后對糖尿病患者進行跟蹤,從而加深對糖尿病誘發(fā)的認知功能損害機制及其改善情況的認識和理解,對指導糖尿病患者認知功能損害的康復治療具有重要意義。本論文致力研究遺忘型輕度認知功能損害2型糖尿病患者的腦電信號及事件相關腦電信號變化,主要進行了以下研究工作: 首先,基于線性腦電信號分析,應用功率譜及一致性方法研究了遺忘型認知功能損害糖尿病患者各頻段各腦區(qū)靜息狀態(tài)下腦電活動以及腦區(qū)內(nèi)及腦區(qū)間的同步性,分析了EEG線性指標與神經(jīng)心理量表得分之間的相關性。探討了靜息態(tài)腦電信號指標在認知功能評估中的作用,提出了糖尿病患者認知功能損害會表現(xiàn)出腦功能活動降低、同步性減弱,腦電信號分析更具客觀性。 其次,,基于非線性腦電信號分析,研究了排序熵和加權排序熵值在遺忘型認知功能損害糖尿病患者與正常對照組各個腦區(qū)的差異,以及二者隨參數(shù)變化的敏感性。介紹了熵值指標與神經(jīng)心理量表之間的相關性。提出了加權排序熵對噪聲具有更強的魯棒性,其在區(qū)分兩組糖尿病患者中具有很好的實用價值。 然后,基于事件相關EEG信號,提取了ERPs和離散小波一致性特征。將時間、腦區(qū)、頻段和實驗范式等信息相結合進行0.1到0.9之間數(shù)據(jù)歸一化,應用基于互信息的最大相關最小冗余分析,對以上特征提取典型變量,對兩組患者進行分類。提出了n-back范式對γ頻段的影響更具顯著性,與遺忘型輕度認知功能損害糖尿病患者工作記憶能力下降相關。指出Kanizsa虛幻圖刺激在區(qū)分兩組患者方面的研究仍有待進一步進行。 最后,應用功率譜和全局同步索引方法分析了普拉提訓練過程中健康大學生腦電信號,發(fā)現(xiàn)了普拉提訓練使大腦神經(jīng)網(wǎng)絡變得更活躍,前額區(qū)和顳區(qū)的同步強度降低。本章為普拉提對腦功能干預的初步探討,這為普拉提應用于大腦退化性疾病和認知功能障礙康復的干預提供了初步依據(jù)。
[Abstract]:The incidence of diabetes and the complications of cognitive impairment are increasing year by year, which seriously affects the quality of life of the patients and gives them to individuals. Family and society have a heavy mental and economic burden. Diabetes is an important risk factor for cognitive impairment and dementia in older people. The complex relationship between diabetes and aging needs to be further revealed. Since 1980s, attention has been focused on the relationship between type 2 diabetes and dementia, but the problem remains unresolved. EEG is the window to understanding the brain. Therefore, EEG is used to study the mechanism of cognitive impairment in diabetic patients and to follow up the diabetic patients after rehabilitation, so as to deepen the understanding and understanding of the mechanism of diabetes induced cognitive impairment and its improvement. This paper is devoted to study the changes of EEG and event-related EEG in patients with amnesia mild cognitive impairment type 2 diabetes mellitus. The following studies were carried out:. Firstly, based on the linear EEG analysis, the power spectrum and consistency methods were used to study the EEG activity and the synchronism of the brain regions and regions in the patients with amnesia cognitive impairment. The correlation between EEG linear index and the scores of neuropsychological scale was analyzed. The role of resting EEG in cognitive function evaluation was discussed. It was suggested that cognitive impairment of diabetic patients would result in decreased brain function activity. Synchronization is weakened and EEG analysis is more objective. Secondly, based on the analysis of nonlinear EEG signals, the difference of order entropy and weighted ordering entropy in different brain regions of patients with amnesia cognitive impairment diabetes mellitus and normal control group was studied. The correlation between the entropy index and the neuropsychological scale is introduced. The weighted ranking entropy is more robust to the noise, which has a good practical value in differentiating the two groups of diabetic patients. Then, based on the event-related EEG signal, the consistency features of ERPs and discrete wavelet are extracted, and the information of time, brain region, frequency band and experimental paradigm are combined to normalize the data between 0.1 and 0.9. Using the maximum correlation minimum redundancy analysis based on mutual information to extract the typical variables from the above features and classify the two groups of patients, it is proposed that the n-back normal form has a more significant effect on the 緯 band. It is pointed out that the study of Kanizsa illusory stimulation in differentiating the two groups needs to be carried out further. Finally, using power spectrum and global synchronous index method to analyze the EEG of healthy college students during Pilates training, it is found that Pilates training makes the neural network more active. This chapter is a preliminary study on the intervention of Pilates on brain function, which provides a preliminary basis for the intervention of Pilates in the rehabilitation of brain degenerative diseases and cognitive dysfunction.
【學位授予單位】:燕山大學
【學位級別】:博士
【學位授予年份】:2014
【分類號】:R587.1;TN911.6
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